In this paper the stabilization problem of nonlinear uncertain systems described by diierential inclusions is considered. The nominal system is assumed to be aane in the control variable. For the stabilization of the nominal system, a variant of the receding horizon control method is proposed which is based on the solution of a certain Bolza problem. The results are illustrated by an example.

Gas-condensate reservoirs contain hydrocarbon fluids with characteristics between oil and gas reservoirs and a high gas-liquid ratio. Due to the large gas-liquid ratio, wellhead choke calculations using the empirical equations such as Gilbert may contain considerable error. In this study, using drill stem test (DST) data of a gas-condensate reservoir, coefficients of Gilbert equation was modifi...

We consider Networked Control Systems (NCSs) consisting of a LTI plant; a linear static or dynamic feedback controller; a collection of sensors that provide measurements to the controller; and a collection of actuators that are used to control the plant. The different elements of the control system are spatially distributed, but interconnected through a communication network. Due to the shared ...

In recent years, due to the wide applications of uncertain data, mining frequent itemsets over uncertain databases has attracted much attention. In uncertain databases, the support of an itemset is a random variable instead of a fixed occurrence counting of this itemset. Thus, unlike the corresponding problem in deterministic databases where the frequent itemset has a unique definition, the fre...

A new variance formula is developed using the generalized inverse of an increasing function. Based on formula, a entropy for any uncertain variable provided. Most formulas in literature are special cases formula. Using maximum distribution unimodel variables provided without Euler–Lagrange equation.

This note has developed a sliding-mode controller which requires only output information for a class of uncertain linear systems. The controller comprises both linear and nonlinear components and is static in nature, i.e., no compensation/observation is included. The novelty of the approach is in the rationale and method used to synthesize the linear control component. The reachability conditio...

Linear regression is arguably one of the most widely used statistical methods. However, important problems, especially variable selection, remain a challenge for classical modes of inference. This paper develops a recently proposed framework of inferential models (IMs) in the linear regression context. In general, the IM framework is able to produce meaningful probabilistic summaries of the sta...

The robust ∞ H control problem for a class of uncertain switched linear systems by using the variable structure control is investigated. A robust ∞ H single sliding surface is shown to exist as long as a convex combination of the subsystems of the switched system is robustly stabilizable with disturbance attenuation level γ . A switching law is constructed via the single Lyapunov function techn...